CAJ | 학술논문

风电出力的随机性和不稳定性对系统安全带来巨大压力.针对由于风电出力的随机性可能导致系统在不合理机组检修计划下出现备用不足的情况,采用基于风电概率分布的机组检修计划最小失负荷期望模型.通过考虑发电机组随机停运下可能产生的失负荷期望值对机组检修计划进行合理优化,减小甚至消除产生失负荷的可能性,保障系统安全运行.针对所采用的机组检修计划模型,提出了新型高效0-1问题粒子群算法.在IEEE RTS-96系统中的验证结果表明该模型与新型粒子群算法可行有效.
풍전출력적수궤성화불은정성대계통안전대래거대압력.침대유우풍전출력적수궤성가능도치계통재불합리궤조검수계화하출현비용불족적정황,채용기우풍전개솔분포적궤조검수계화최소실부하기망모형.통과고필발전궤조수궤정운하가능산생적실부하기망치대궤조검수계화진행합리우화,감소심지소제산생실부하적가능성,보장계통안전운행.침대소채용적궤조검수계화모형,제출료신형고효0-1문제입자군산법.재IEEE RTS-96계통중적험증결과표명해모형여신형입자군산법가행유효.
The randomness and instability of wind power have brought huge pressure to system security. The randomness of wind power may lead to reserve shortage under unreasonable unit maintenance scheduling. This paper introduces a unit maintenance scheduling model to minimize expected loss of load based on wind power probability distribution. Unit maintenance scheduling is reasonably optimized by considering the expected loss of load with respect to random outage of generators, so that the expected loss of load can be decreased or even eliminated to guarantee the safe operation of system. A novel efficient 0-1 particle swarm optimization algorithm is described. Simulation results on IEEE RTS-96 system show the feasibility of the proposed model and the efficiency of the proposed particle swarm optimization algorithm.